An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties

T. K. Roy; M. A. Mahmud; A. M.T. Oo; M. E. Haque

doi:10.1109/ASCC.2017.8287601

An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties

T. K. Roy, M. A. Mahmud, A. M.T. Oo, M. E. Haque

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper, a direct power control (DPC) approach is used to control the active and reactive power injection into the grid from a photovoltaic (PV) unit. The dynamics of active and reactive power are used to develop the dynamical model of the three-phase grid-connected PV (GCPV) system while a nonlinear adaptive technique is employed to design the proposed controller. The parametric uncertainties are incorporated within the dynamical model of three-phase GCPV systems by considering the parameters as totally unknown. The unknown parameters are estimated through adaptation laws and control Lyapunov functions (CLFs) are formulated during the different stages of the controller design process to ensure the overall stability of the GCPV system. The theoretical stability of the three-phase GCPV, with the proposed control scheme, is analyzed through the negative semi-definiteness of the derivatives of CLFs. Simulations are carried out to further validate the performance of the proposed control scheme on a three-phase GCPV system in terms of injecting power (both active and reactive) into the grid along with the power quality. Simulation results demonstrate effectiveness of the proposed controller as compared to an existing sliding mode controller (SMC).

Original language	English
Title of host publication	2017 Asian Control Conference, ASCC 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	2686-2691
Number of pages	6
ISBN (Electronic)	9781509015733, 9781509015726
ISBN (Print)	9781509015740
DOIs	https://doi.org/10.1109/ASCC.2017.8287601
Publication status	Published - 20 Dec 2017
Externally published	Yes
Event	2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia Duration: 17 Dec 2017 → 20 Dec 2017

Publication series

Name	2017 Asian Control Conference, ASCC 2017
Volume	2018-January

Conference

Conference	2017 11th Asian Control Conference, ASCC 2017
Country/Territory	Australia
City	Gold Coast
Period	17/12/17 → 20/12/17

Keywords

active power
Adaptive controller
CLF
DPC
parametric uncertainties
power quality
reactive power
total harmonic distortion (THD)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ASCC.2017.8287601

Cite this

Roy, T. K., Mahmud, M. A., Oo, A. M. T., & Haque, M. E. (2017). An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties. In 2017 Asian Control Conference, ASCC 2017 (pp. 2686-2691). Article 8287601 (2017 Asian Control Conference, ASCC 2017; Vol. 2018-January). IEEE. https://doi.org/10.1109/ASCC.2017.8287601

@inproceedings{c2076066f3554791b6232e5c3dc703e5,

title = "An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties",

abstract = "In this paper, a direct power control (DPC) approach is used to control the active and reactive power injection into the grid from a photovoltaic (PV) unit. The dynamics of active and reactive power are used to develop the dynamical model of the three-phase grid-connected PV (GCPV) system while a nonlinear adaptive technique is employed to design the proposed controller. The parametric uncertainties are incorporated within the dynamical model of three-phase GCPV systems by considering the parameters as totally unknown. The unknown parameters are estimated through adaptation laws and control Lyapunov functions (CLFs) are formulated during the different stages of the controller design process to ensure the overall stability of the GCPV system. The theoretical stability of the three-phase GCPV, with the proposed control scheme, is analyzed through the negative semi-definiteness of the derivatives of CLFs. Simulations are carried out to further validate the performance of the proposed control scheme on a three-phase GCPV system in terms of injecting power (both active and reactive) into the grid along with the power quality. Simulation results demonstrate effectiveness of the proposed controller as compared to an existing sliding mode controller (SMC).",

keywords = "active power, Adaptive controller, CLF, DPC, parametric uncertainties, power quality, reactive power, total harmonic distortion (THD)",

author = "Roy, {T. K.} and Mahmud, {M. A.} and Oo, {A. M.T.} and Haque, {M. E.}",

year = "2017",

month = dec,

day = "20",

doi = "10.1109/ASCC.2017.8287601",

language = "English",

isbn = "9781509015740",

series = "2017 Asian Control Conference, ASCC 2017",

publisher = "IEEE",

pages = "2686--2691",

booktitle = "2017 Asian Control Conference, ASCC 2017",

address = "United States",

note = "2017 11th Asian Control Conference, ASCC 2017 ; Conference date: 17-12-2017 Through 20-12-2017",

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Roy, TK, Mahmud, MA, Oo, AMT & Haque, ME 2017, An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties. in 2017 Asian Control Conference, ASCC 2017., 8287601, 2017 Asian Control Conference, ASCC 2017, vol. 2018-January, IEEE, Piscataway, NJ, pp. 2686-2691, 2017 11th Asian Control Conference, ASCC 2017, Gold Coast, Australia, 17/12/17. https://doi.org/10.1109/ASCC.2017.8287601

An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties. / Roy, T. K.; Mahmud, M. A.; Oo, A. M.T. et al.
2017 Asian Control Conference, ASCC 2017. Piscataway, NJ: IEEE, 2017. p. 2686-2691 8287601 (2017 Asian Control Conference, ASCC 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties

AU - Roy, T. K.

AU - Mahmud, M. A.

AU - Oo, A. M.T.

AU - Haque, M. E.

PY - 2017/12/20

Y1 - 2017/12/20

N2 - In this paper, a direct power control (DPC) approach is used to control the active and reactive power injection into the grid from a photovoltaic (PV) unit. The dynamics of active and reactive power are used to develop the dynamical model of the three-phase grid-connected PV (GCPV) system while a nonlinear adaptive technique is employed to design the proposed controller. The parametric uncertainties are incorporated within the dynamical model of three-phase GCPV systems by considering the parameters as totally unknown. The unknown parameters are estimated through adaptation laws and control Lyapunov functions (CLFs) are formulated during the different stages of the controller design process to ensure the overall stability of the GCPV system. The theoretical stability of the three-phase GCPV, with the proposed control scheme, is analyzed through the negative semi-definiteness of the derivatives of CLFs. Simulations are carried out to further validate the performance of the proposed control scheme on a three-phase GCPV system in terms of injecting power (both active and reactive) into the grid along with the power quality. Simulation results demonstrate effectiveness of the proposed controller as compared to an existing sliding mode controller (SMC).

AB - In this paper, a direct power control (DPC) approach is used to control the active and reactive power injection into the grid from a photovoltaic (PV) unit. The dynamics of active and reactive power are used to develop the dynamical model of the three-phase grid-connected PV (GCPV) system while a nonlinear adaptive technique is employed to design the proposed controller. The parametric uncertainties are incorporated within the dynamical model of three-phase GCPV systems by considering the parameters as totally unknown. The unknown parameters are estimated through adaptation laws and control Lyapunov functions (CLFs) are formulated during the different stages of the controller design process to ensure the overall stability of the GCPV system. The theoretical stability of the three-phase GCPV, with the proposed control scheme, is analyzed through the negative semi-definiteness of the derivatives of CLFs. Simulations are carried out to further validate the performance of the proposed control scheme on a three-phase GCPV system in terms of injecting power (both active and reactive) into the grid along with the power quality. Simulation results demonstrate effectiveness of the proposed controller as compared to an existing sliding mode controller (SMC).

KW - active power

KW - Adaptive controller

KW - CLF

KW - DPC

KW - parametric uncertainties

KW - power quality

KW - reactive power

KW - total harmonic distortion (THD)

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DO - 10.1109/ASCC.2017.8287601

M3 - Conference contribution

AN - SCOPUS:85047455710

SN - 9781509015740

T3 - 2017 Asian Control Conference, ASCC 2017

SP - 2686

EP - 2691

BT - 2017 Asian Control Conference, ASCC 2017

PB - IEEE

CY - Piscataway, NJ

T2 - 2017 11th Asian Control Conference, ASCC 2017

Y2 - 17 December 2017 through 20 December 2017

ER -

An adaptive direct power controller for three-phase grid-connected photovoltaic systems with parametric uncertainties

Abstract

Publication series

Conference

Keywords

UN SDGs

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